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t5-small-nlg-multiwoz21_sgd_tm1_tm2_tm3 – AI Model by ConvLab | AlphaNeural AI

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ConvLab/
t5-small-nlg-multiwoz21_sgd_tm1_tm2_tm3

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text2text-generation

natural language generation

conversational system

task-oriented dialog

ConvLab/multiwoz21

text-generation-inference

endpoints_compatible

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t5-small-nlg-multiwoz21_sgd_tm1_tm2_tm3

This model is a fine-tuned version of t5-small on MultiWOZ 2.1, Schema-Guided Dialog, Taskmaster-1, Taskmaster-2, and Taskmaster-3.

Refer to ConvLab-3 for model description and usage.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 512
optimizer: Adafactor
lr_scheduler_type: linear
num_epochs: 10.0

Framework versions

Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 1.18.3
Tokenizers 0.11.0